𝙎𝙋𝙀𝘾𝙄𝘼𝙇 𝙄𝙎𝙎𝙐𝙀 𝙤𝙣 𝘼𝙥𝙥𝙡𝙞𝙚𝙙 𝘼𝙧𝙩𝙞𝙛𝙞𝙘𝙞𝙖𝙡 𝙞𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚, 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜, 𝙖𝙣𝙙 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧𝙞𝙣𝙜

This special issue in 𝗢𝗽𝗲𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (𝗜𝗙 𝟮𝟬𝟮𝟮: 𝟭.𝟱) focuses on the innovative theories, methodology and applications of Artificial Intelligence, machine learning and data engineering, Industry 4.0 refers to the integration of digital technologies and the advancement of skills, resources, and high-tech solutions to enhance the performance of the industries. Artificial Intelligence (AI), Machine Learning (ML), and data engineeering their utilization within Industry 4.0 have gained considerable attention among researchers. Continued advancement is pivotal for the industry future. The integration of Industry 4.0 technologies has sparked a paradigm shift wherein the boundaries between the physical, electronic, and biological realms are progressively fading away. At the core of this convergence lies a transformative process that is ushering in the digitization of businesses and communities across all levels, heralding a new era characterized by hyperconnectivity and interoperability. Within the context of Industry 4.0, the data generated by sensor networks underscores the imperative for machine learning and data analysis tools. Additionally, researchers from diverse fields are collaborating to integrate these technologies further.Various industries and research endeavors necessitate engagement with Industry 4.0 platforms, entailing the incorporation and utilization of AI, ML, Big Data, and the Internet of Things (IoT). Consequently, there exists a pressing demand to cultivate resilient AI and ML applications, services, architectures, and proofs-of-concept capable of adapting to future needs.The principal focus of this special issue is to address the applications and advances of AI and ML within the context of Industry 4.0. authors with unpublished work and high-caliber outputs to submit their contributions.
Potential topics to be addressed in this special issue include, but are not limited to the following
• Artificial intelligence
• Evolutionary computation
• AI-based optimization
• AI-based medical imaging
• AI-based image processing
• AI-based shape/pattern recognition
• The Internet of Things as a competitive advantage
• Big data in managing operating activities
• Knowledge engineering and expert systems
• Machine learning algorithms
• Machine learning and decision making in engineering
• Intelligent sensors and systems in machine vision
• Artificial neural networks in identification and classification of objects
• Computer (digital) image analysis in production processes
• Business intelligence in decision-making systems
• Machine learning architecture or Medical
• Machine learning cloud services
• Machine Learning and Cybersecurity
• Machine Learning and Forensics
• Machine Learning and
• Machine Learning IoT Services
• Machine Learning and Video – Image Processing
• Machine Learning for Bio-Medical systems
• Mathematical Foundations of AI and Intelligent Computational methods
• Deep learning models and applied intelligence

Authors are requested to submit their full revised papers complying with the general scope of the journal. The submitted papers will undergo the standard peer-review process before they can be accepted. Notification of acceptance will be communicated as we progress with the review process.

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𝑮𝑼𝑬𝑺𝑻 𝑬𝑫𝑰𝑻𝑶𝑹𝑺

B Sridhar Babu, Malla Reddy Engineering College, Hyderabad Telengana, India
Maria Ganzha, Department of Artificial intelligence, Warsaw University of Technology Poland
Parikshit Mahalle, Vishwakarma institute of Information Technology Pune India

𝘼𝘿𝙑𝙄𝙎𝙊𝙍𝙔 𝙀𝘿𝙄𝙏𝙊𝙍

Christos Anagnostopoulos, University of Glasgow, United Kingdom

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𝑫𝑬𝑨𝑫𝑳𝑰𝑵𝑬

The deadline for submissions is 𝗗𝗘𝗖𝗘𝗠𝗕𝗘𝗥 𝟭𝟱, 𝟮𝟬𝟮𝟰, but individual papers will be reviewed and published online on an ongoing basis.

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𝑯𝑶𝑾 𝑻𝑶 𝑺𝑼𝑩𝑴𝑰𝑻

All submissions to the Special Issue must be made electronically via the online submission system Editorial Manager:

𝗵𝘁𝘁𝗽𝘀://𝘄𝘄𝘄.𝗲𝗱𝗶𝘁𝗼𝗿𝗶𝗮𝗹𝗺𝗮𝗻𝗮𝗴𝗲𝗿.𝗰𝗼𝗺/𝗼𝗽𝗲𝗻𝗰𝘀/𝗱𝗲𝗳𝗮𝘂𝗹𝘁𝟮.𝗮𝘀𝗽𝘅

Please choose the article type “𝙎𝙄: 𝘼𝙥𝙥𝙡𝙞𝙚𝙙 𝘼𝙄, 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜, 𝙖𝙣𝙙 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧𝙞𝙣𝙜”.

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𝑪𝑶𝑵𝑻𝑨𝑪𝑻

𝗼𝗽𝗲𝗻𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿𝘀𝗰𝗶𝗲𝗻𝗰𝗲@𝗱𝗲𝗴𝗿𝘂𝘆𝘁𝗲𝗿.𝗰𝗼𝗺

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𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻, 𝗽𝗹𝗲𝗮𝘀𝗲 𝘃𝗶𝘀𝗶𝘁 𝗼𝘂𝗿 𝘄𝗲𝗯𝘀𝗶𝘁𝗲.

https://www.degruyter.com/journal/key/comp/html#specialIssues